Orthopediatrics (KIDS) Long-Term Debt Repayments (2016 - 2026)
Orthopediatrics (KIDS) recorded Long-Term Debt Repayments of $44,000 in Q2 2026, up 12.8% from $39,000 a year earlier and up 7.3% from the prior quarter.
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Analysis
Orthopediatrics (KIDS) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
On a TTM basis, Orthopediatrics' Long-Term Debt Repayments came in at $165,000 as of Jun 30, 2026, down 98.7% year-over-year; for FY2025, it came in at $158,000, down 98.7% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -63.7% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $12.23 million in FY2024, $144,000 in FY2023 (+5.1%), $137,000 in FY2022 (+4.6%) and $131,000 in FY2021 (-99.5%).
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments since Q3 2024.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last five quarters, with an average decline of 12.4%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 12.8% in Q2 2026, against a decline of 99.9% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $41,000 (Q1 2026), $39,000 (Q4 2025) and $41,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | - |
| 10 | Orthopediatrics | 593.04 Mn | 379.77 Mn | 52.37 Mn | 44,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44,000.00 |
| Mar 31, 2026 | 41,000.00 |
| Dec 31, 2025 | 39,000.00 |
| Sep 30, 2025 | 41,000.00 |
| Jun 30, 2025 | 39,000.00 |
| Mar 31, 2025 | 39,000.00 |
| Dec 31, 2024 | 39,000.00 |
| Sep 30, 2024 | 12.27 Mn |
| Jun 30, 2024 | 36,000.00 |
| Mar 31, 2024 | 35,000.00 |
| Dec 31, 2023 | 37,000.00 |
| Sep 30, 2023 | 36,000.00 |
| Jun 30, 2023 | 35,000.00 |
| Mar 31, 2023 | 36,000.00 |
| Dec 31, 2022 | -30.97 Mn |
| Sep 30, 2022 | 31.04 Mn |
| Jun 30, 2022 | 34,000.00 |
| Mar 31, 2022 | 33,000.00 |
| Dec 31, 2021 | 34,000.00 |
| Sep 30, 2021 | 33,000.00 |
API Access
Orthopediatrics Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=KIDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "KIDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=KIDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();